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人类脑类器官的单细胞基因组分析。

Single-cell genomic analysis of human cerebral organoids.

机构信息

Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.

Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.

出版信息

Methods Cell Biol. 2020;159:229-256. doi: 10.1016/bs.mcb.2020.03.013. Epub 2020 May 13.

Abstract

Investigating early brain development has previously relied on using primary developing brain tissue or two-dimensional cell culture models. Recently, stem cell-derived three-dimensional cell culture systems, collectively called brain organoids, have been developed that can faithfully recapitulate many aspects of early brain development. Together with the ability to reprogram fibroblast or blood cells into induced pluripotent stem cells from humans with neurodevelopmental disorders, this opens new inroads to study patient-specific brain development in a personalized cell culture model. Studying the transcriptomes and regulatory landscape of single cells within brain organoids presents a major advance to understand cell-type specific features and transient states during development, and to link these states to their underlying regulatory logic at high resolution. In this protocol, we describe how to generate single-cell RNA-seq and ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) data from the same suspension of organoid cells and focus on reducing batch effects by multiplexing multiple individuals in one experiment. Moreover, we outline basic data processing, analysis, and strategies to correct for batch effects, to account for variability in organoids and for integrating gene expression and open chromatin data.

摘要

先前,研究早期大脑发育主要依赖于使用原始发育中的脑组织或二维细胞培养模型。最近,开发了一种新的干细胞衍生的三维细胞培养系统,通常被称为脑类器官,它能够真实地再现早期大脑发育的许多方面。结合将成纤维细胞或血细胞重编程为具有神经发育障碍的人类诱导多能干细胞的能力,这为在个性化细胞培养模型中研究特定于患者的大脑发育开辟了新途径。研究脑类器官中单细胞的转录组和调控景观,是理解发育过程中细胞类型特异性特征和瞬态状态的主要进展,并以高分辨率将这些状态与其潜在的调控逻辑联系起来。在本方案中,我们描述了如何从同一批悬浮的类器官细胞中生成单细胞 RNA-seq 和 ATAC-seq(使用测序进行转座酶可及染色质的测定)数据,并重点介绍了通过在一个实验中对多个个体进行多重化来减少批次效应的方法。此外,我们概述了基本的数据处理、分析和策略,以纠正批次效应,考虑类器官的可变性,并整合基因表达和开放染色质数据。

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